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Browse Conference Publications > Robotics and Automation, 1993 ... Help

Obstacle avoidance inverse kinematics solution of redundant manipulators by neural networks

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2 Author(s)
Hsia, T.C. ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA ; Mao, Z.

Summary form only given. A neural network scheme is proposed to solve the inverse kinematic problem for redundant robots in an environment with or without obstacles. The inverse kinematic solution of a four link planar robot is simulated using a multilayer feedforward network with hidden units having sigmoidal functions and output units having linear functions. The results show that the proposed scheme provides very satisfactory solutions

Published in:
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on

Date of Conference: 2-6 May 1993

Meeting Date :
02 May 1993-06 May 1993
Print ISBN:
0-8186-3450-2
INSPEC Accession Number:
4690907
Conference Location :
Atlanta, GA
Digital Object Identifier :
10.1109/ROBOT.1993.291813
Product Type:
Conference Publications

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